How datawhalechina/agent-learning-hub works
This is a README-only curated AI Agent learning roadmap, not an executable software system. Its main workflow is for learners to choose an entry point, progress through the staged learning checklist, and build projects; the README also offers curated references and current-priority guidance. All repository nodes therefore point to README.md. Relationships reflect the documented learning sequence and navigation, not runtime calls. No source excerpts were available.
Main entry points: README.md Curated Resources
Components 15
Roadmap Navigation
- Learning Roadmap
README.md - How To Use
README.md - Current Priorities
README.md - Curated Resources
README.md - Project Ladder
README.md
Agent Foundations
- Agent Concepts
README.md - Minimal Agent Loop
README.md - Tools, RAG, Memory
README.md
Agent Practice
- Agent Harness
README.md - Multi-Agent Coordination
README.md - Skills and Protocols
README.md - Browser Agents
README.md
Quality and Safety
- Evaluation and Safety
README.md - Learning Project
README.md
Other components
- Learner
Connections 25
- Learner → How To Use: chooses entry
- How To Use → Learning Roadmap: guides through
- Learner → Current Priorities: checks focus
- Learner → Curated Resources: consults
- Learner → Project Ladder: chooses project
- Learning Roadmap → Agent Concepts: starts with
- Agent Concepts → Minimal Agent Loop: progresses to
- Minimal Agent Loop → Tools, RAG, Memory: progresses to
- Tools, RAG, Memory → Agent Harness: progresses to
- Agent Harness → Multi-Agent Coordination: progresses to
- Multi-Agent Coordination → Skills and Protocols: progresses to
- Skills and Protocols → Browser Agents: progresses to
- Browser Agents → Evaluation and Safety: progresses to
- Curated Resources → Minimal Agent Loop: supports study
- Curated Resources → Tools, RAG, Memory: supports study
- Curated Resources → Agent Harness: supports study
- Curated Resources → Multi-Agent Coordination: supports study
- Curated Resources → Skills and Protocols: supports study
- Curated Resources → Browser Agents: supports study
- Curated Resources → Evaluation and Safety: supports study
- Project Ladder → Learning Project: offers builds
- Minimal Agent Loop → Learning Project: produces demo
- Tools, RAG, Memory → Learning Project: produces research assistant
- Agent Harness → Learning Project: produces harness demo
- Evaluation and Safety → Learning Project: produces eval